Monday, Aug 21, 2017

ARTICLE: With the advancement of IoT, the number of smart and connected devices is increasing. These geographically distributed devices produce and consume a huge amount of heterogeneous and dynamic data known as ‘Big Data’ at the network edge that is close to the end users.

Friday, Apr 22, 2016

BLOGPOST: Big Data and Analytics systems are fast emerging as one of the critical system in an organization’s IT environment. But with such huge amount of data, comes performance challenges. If Big Data systems cannot be used to make or forecast critical business decisions, or provide the insights into business values, hidden under huge amount of data, at the right time, then these systems lose their relevance. This paper talks about some of the critical performance considerations, in a technology agnostic way. It talks about some techniques or guidelines, which can be used, during different phases of a big data system (i.e. data extraction, data cleansing, processing, storage as well as presentation). This should act as generic guidelines, which can be used by any Big Data professional to ensure that the final system meets the performance requirements of the system.

Friday, Jun 10, 2016

BLOGPOST: The advantage of containers is well known for a long period of time, with Docker emerging as a de-facto standard for containerization. It is being readily adopted by both the developer and the IT community as a viable deployment option, both on- premise as well as on the cloud. However there is a need to have a complete container management solution be able to deploy and manage these in production. This post looks at a promising open source offering called Rancher in this regard and sees how it does against some of the core architecture principles.

Tuesday, Jun 21, 2016

BLOGPOST: In October 2015 Redhat signed a definitive agreement to acquire Ansible. Since then this tool has generated lot of interest among practitioners of DevOps. This article provides a basic overview of infra configuration management and how to get started with Ansible.

Monday, Jul 18, 2016

BLOGPOST: On-demand one-click environment provisioning is gaining lot of traction these days. So what is on-demand virtualization, why is it relevant to DevOps and how it can be enabled on Azure; these are some of things the that we discuss in this article.

Thursday, Jul 28, 2016

BLOGPOST: Docker recently came out with a release candidate version 1.12, that has really got most of us excited in terms of ease with which a cluster can now be setup with the new “Swarm Mode”, apart from some of the other features. This article explores some of the new features and puts some of these to a test.

Sunday, Aug 14, 2016

Tuesday, Aug 30, 2016

BLOGPOST: The data is ‘Big’, the market is booming, ROI is excellent and the “things” landscape is heating up. There are a lot of platforms and services available which enables quick turnaround for deploying Big Data infrastructure or platforms. Companies want to invest more to figure out that whether the data they have stored over years in databases/generate daily can be monetized using data mining / analytics. Currently every company small or big wants to do “something” with ‘Big Data’, often projects are in a jeopardy as • the problem statements is not comprehended well enough • hypothesis for the ‘value’ generated is not evaluated enough • data by itself is not ‘Big’ enough • there are other unknown conditions In this post we will discuss the end-to-end problems that are comprehended in a data science/analytics projects both architecturally and as-is, we would also attempt to engineer a process/workflow which would help to determine the viability/need of a Big Data system given the problem statement.

Friday, Sep 2, 2016

BLOGPOST: This blog describes one exercise to shift an application from an On-Premise implementation to a container based solution along with monitoring and management tools that can work on both AWS and Azure frameworks without major changes

Thursday, Oct 13, 2016

BLOGPOST: This blog post talks about the much awaited Windows Server Containers that have are now available with the release of Windows Server 2016 and takes a brief look at some of the key aspects related to Windows Containers

Thursday, Nov 24, 2016

BLOGPOST: Nowadays, online social media have become the important platform across the globe to share information. People prefer online social media as it is easy to share their opinions on a daily basis hence sentiment analysis is of utmost importance wherein people rely on the opinions shared online. With this extensive growth in the usage of online social media, huge amount of social data is generated. How to process this large set of data efficiently, effectively and in a manner suitable for the user is an important research topic. This blog post introduces sentiment analysis and Hadoop Ecosystem. Then focuses on how Hadoop Eco-system proves to be an efficient tool in sentiment analysis.

Sunday, Dec 4, 2016

BLOGPOST: The article focuses on five key developments that will shape up the cloud computing market in 2017. Cloud adoption will accelerate faster as enterprises are scrambling to adopt a scalable and cost-effective infrastructure to store and process a large amount of data. Big data and IoT would be a significant part of this growth. The five trends will impact a large number of organizations and will pave the way to cloud-based data-driven culture globally.

Wednesday, Dec 14, 2016

BLOGPOST: Ansible is relatively new configuration management tool which gained popularity after its acquisition by Redhat. This blog post presents a POV on this tool, which is outcome of an evaluation of different features desirable in an infra configuration management tool that impact their effectiveness to automate the management of infrastructure.

Tuesday, Feb 21, 2017

Monday, Mar 13, 2017

BLOGPOST: The cloud concept is meant to be ethereal, floating, that we don’t need to worry about it. It has worked! However, cloud computing is very real, which means it has a real physical presence and cost. The article discusses these details.

IEEE Annals of the History of Computing covers computer history with scholarly articles by leading computer scientists and historians, as well as first-hand accounts.

Cloud Computing magazine is committed to the timely publication of peer-reviewed articles that provide innovative research ideas, applications results, and case studies in all areas of cloud computing.

IEEE Computer Graphics and Applications magazine bridges the theory and practice of computer graphics, from specific algorithms to full system implementations.

Computing in Science & Engineering addresses the need for efficient algorithms, system software, and computer architecture to address large computational problems in the hard sciences.